Chapter 16: Testing and Monitoring Event-Driven Systems

In this section

• 16.1 Testing Strategies for EDA
  • Unit Testing Event Handlers in Event-Driven Architecture
    Explore comprehensive strategies for unit testing event handlers in event-driven architectures, focusing on isolation, mock objects, and test automation.
  • Integration Testing with Event Brokers: Ensuring Robust Event-Driven Architectures
    Explore strategies for integration testing with event brokers in event-driven architectures, focusing on real-world scenarios, schema compatibility, and automated workflows.
  • End-to-End Testing Scenarios in Event-Driven Architectures
    Explore comprehensive end-to-end testing scenarios for event-driven architectures, focusing on realistic data, automation, system interactions, data consistency, performance metrics, and user behavior simulation.
• 16.2 Automated Testing Tools
  • Mocking Event Sources and Sinks in Event-Driven Architecture
    Explore how to effectively mock event sources and sinks in event-driven systems using frameworks like Mockito and WireMock. Learn to create mock event producers and consumers, define mock event data, and integrate mocks into test suites for robust testing.
  • Continuous Integration for Event-Driven Architectures: Best Practices and Implementation
    Explore the integration of testing into CI pipelines for Event-Driven Architectures, focusing on automated schema validation, containerization, and parallel testing.
  • Load Testing Event Systems: Ensuring Scalability and Performance in Event-Driven Architectures
    Explore the essential strategies and tools for load testing event-driven systems, focusing on performance limits, bottlenecks, and scalability using Apache JMeter and Kafka.
• 16.3 Monitoring EDA Systems
  • Key Performance Indicators (KPIs) for Monitoring Event-Driven Architecture Systems
    Explore essential Key Performance Indicators (KPIs) for monitoring the performance and health of Event-Driven Architecture (EDA) systems, including event throughput, processing latency, error rates, and system resource utilization.
  • Real-Time Monitoring Tools for Event-Driven Architectures
    Explore real-time monitoring tools and techniques for Event-Driven Architectures, focusing on tools like Prometheus, Grafana, and Jaeger to ensure optimal system performance and reliability.
  • Alerting and Incident Management in Event-Driven Architectures
    Learn how to effectively implement alerting and incident management in event-driven systems, ensuring timely responses to system anomalies and maintaining operational resilience.
• 16.4 Troubleshooting and Debugging
  • Common Issues in Event-Driven Architecture: Troubleshooting and Debugging
    Explore common issues in Event-Driven Architecture, including message duplication, event loss, latency spikes, schema mismatches, and more. Learn troubleshooting techniques and best practices.
  • Diagnostic Techniques for Event-Driven Architectures
    Explore advanced diagnostic techniques for troubleshooting and debugging event-driven systems, focusing on broker logs, distributed tracing, system metrics, and more.
  • Leveraging Logs and Traces in Event-Driven Architectures
    Explore best practices for leveraging logs and traces in event-driven architectures, including structured logging, centralized log collection, distributed tracing, and more.